Establish Data Governance

Establish data trust and accountability with strong governance.

Onsite Workshop

Lack of a formalized data governance program will cause:

  • Inability to make good decisions.
  • Dissatisfaction from customers, partners, and suppliers.
  • Wasted time and efforts from sifting through duplicate and incomplete data.
  • Inadequate data for business operations.

A data governance program will:

  • Decrease the amount of duplicate, rogue, incomplete, and stale data to enhance user trust.
  • Provide quicker and more accurate business reports that are not conflicting and help to aid decision making.
  • Provide concrete data to back business decisions.
  • Enable strong customer/supplier relationships as there is little miscommunication or confusion around relevant data.
  • Save time and money by catching and clearing up data as it enters the system before it has a chance to impact the business.
  • Mitigate data compliance and security risks through appropriate data policies and procedures.

Module 1: Establish Business Context and Value

The Purpose

  • Identify key business data assets that need to be governed.
  • Create a unifying vision for the data governance program.

Key Benefits Achieved

  • Understand the value of data governance and how it can help the organization better leverage its data.
  • Gain knowledge of how data governance can benefit both IT and the business.

Activities: Outputs:
1.1 Establish business context, value, and scope of data governance at the organization
1.2 Introduction to Info-Tech’s data governance framework
1.3 Discuss vision and mission for data governance
1.4 Understand your business architecture, including your business capability map and value streams
1.5 Build use cases aligned to core business capabilities
  • Sample use cases (tied to the business capability map) and a repeatable use case framework
  • Vision and mission for data governance

Module 2: Understand Current Data Governance Capabilities and Plot Target-State Levels

The Purpose

  • Assess which data contains value and/or risk and determine metrics that will determine how valuable the data is to the organization.
  • Assess where the organization currently stands in data governance initiatives.
  • Determine gaps between the current and future states of the data governance program.

Key Benefits Achieved

  • Gain a holistic understanding of organizational data and how it flows through business units and systems.
  • Identify which data should fall under the governance umbrella.
  • Determine a practical starting point for the program.

Activities: Outputs:
2.1 Understand your current data governance capabilities and maturity
  • Current state of data governance maturity
2.2 Set target-state data governance capabilities
  • Definition of target state

Module 3: Build Data Domain to Data Governance Role Mapping

The Purpose

  • Determine strategic initiatives and create a roadmap outlining key steps required to get the organization to start enabling data-driven insights.
  • Determine timing of the initiatives.

Key Benefits Achieved

  • Establish clear direction for the data governance program.
  • Step-by-step outline of how to create effective data governance, with true business-IT collaboration.

Activities: Outputs:
3.1 Evaluate and prioritize performance gaps
3.2 Develop and consolidate data governance target-state initiatives
  • Target-state data governance initiatives
3.3 Define the role of data governance: data domain to data governance role mapping
  • Data domain to data governance role mapping

Module 4: Formulate a Plan to Get to Your Target State

The Purpose

  • Consolidate the roadmap and other strategies to determine the plan of action from Day One.
  • Create the required policies, procedures, and positions for data governance to be sustainable and effective.

Key Benefits Achieved

  • Prioritized initiatives with dependencies mapped out.
  • A clearly communicated plan for data governance that will have full business backing.

Activities: Outputs:
4.1 Identify and prioritize next steps
  • Initialized roadmap
4.2 Define roles and responsibilities and complete a high-level RACI
  • Initialized RACI
  • Completed Business Data Glossary (BDG)
4.3 Wrap-up and discuss next steps and post-workshop support
  • Templated data catalog

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